The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-01-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "84586904 (up from 83963772 yesterday: 0.74 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1835788 (up from 1827540 yesterday: 0.45 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12789826

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.17



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 20426184 297491 1.48 4273516 350186 2398 0.69 1.71
India 10323965 37256 0.36 466936 149435 441 0.30 1.45
Brazil 7716405 15827 0.21 836278 195725 314 0.16 2.54
Russia 3179898 25938 0.82 577850 57235 437 0.77 1.80
France 2700480 3466 0.13 293401 65048 156 0.24 2.41
United Kingdom 2607542 57853 2.27 771593 74682 445 0.60 2.86
Turkey 2232035 11180 0.50 422226 21295 202 0.96 0.95
Italy 2141201 11825 0.56 315426 74985 364 0.49 3.50
Spain 1928265 0 0.00 197690 50837 0 0.00 2.64
Germany 1773540 10903 0.62 437439 34480 335 0.98 1.94
Colombia 1666408 11528 0.70 249336 43765 270 0.62 2.63
Argentina 1634834 5240 0.32 140232 43375 56 0.13 2.65
Mexico 1443544 6359 0.44 202108 126851 344 0.27 8.79
Poland 1312780 7006 0.54 186080 29058 102 0.35 2.21
Iran 1237474 6045 0.49 136656 55438 101 0.18 4.48
Ukraine 1102256 5401 0.49 193417 19498 61 0.31 1.77
South Africa 1088889 15002 1.40 235924 29175 288 1.00 2.68
Peru 1015137 0 0.00 34194 37680 0 0.00 3.71
Netherlands 825249 8633 1.06 211619 11660 36 0.31 1.41
Indonesia 758473 7203 0.96 146842 22555 226 1.01 2.97
Czechia 735469 3447 0.47 160047 11827 116 0.99 1.61
Belgium 649169 880 0.14 46010 19644 63 0.32 3.03
Romania 637395 1194 0.19 85495 15919 78 0.49 2.50
Chile 615902 3338 0.54 46121 16724 64 0.38 2.72
Iraq 597033 840 0.14 23411 12829 5 0.04 2.15
Canada 589935 4535 0.77 131408 15707 63 0.40 2.66
Bangladesh 515184 684 0.13 26006 7599 23 0.30 1.48
Pakistan 486634 2272 0.47 48209 10311 53 0.52 2.12
Philippines 476916 1096 0.23 28585 9253 5 0.05 1.94
Switzerland 452296 0 0.00 78465 7729 25 0.32 1.71
Morocco 442141 1171 0.27 44544 7452 27 0.36 1.69
Sweden 437379 0 0.00 117281 8727 0 0.00 2.00
Israel 434799 6289 1.47 79013 3392 36 1.07 0.78
Portugal 423870 3241 0.77 79170 7045 73 1.05 1.66
Austria 364302 1391 0.38 44480 6275 14 0.22 1.72
Saudi Arabia 362979 101 0.03 3230 6239 9 0.14 1.72
Serbia 341904 1907 0.56 80467 3288 38 1.17 0.96
Hungary 326688 1410 0.43 50441 9781 114 1.18 2.99
Jordan 296668 903 0.31 39393 3877 26 0.68 1.31
Nepal 261438 419 0.16 13845 1870 6 0.32 0.72
Panama 251764 2031 0.81 61179 4103 39 0.96 1.63
Japan 242097 3029 1.27 63825 3369 27 0.81 1.39
Georgia 228752 342 0.15 41746 2572 44 1.74 1.12
Azerbaijan 219462 421 0.19 48039 2703 33 1.24 1.23
Ecuador 214513 1135 0.53 12989 14059 8 0.06 6.55
Croatia 212262 255 0.12 39739 4016 55 1.39 1.89
United Arab Emirates 211641 1963 0.94 27886 674 3 0.45 0.32
Bulgaria 202880 340 0.17 23928 7644 40 0.53 3.77
Kazakhstan 202880 820 0.41 17367 2770 5 0.18 1.37
Belarus 198125 1902 0.97 39791 1442 9 0.63 0.73
Lebanon 186408 2520 1.37 41163 1489 10 0.68 0.80
Slovakia 186244 1736 0.94 55450 2250 0 0.00 1.21
Dominican Republic 172965 747 0.43 19380 2416 0 0.00 1.40
Costa Rica 169321 0 0.00 18374 2185 0 0.00 1.29
Denmark 168182 1615 0.97 60522 1345 23 1.74 0.80
Bolivia 162055 1070 0.66 15025 9186 11 0.12 5.67
Armenia 159798 60 0.04 12486 2836 8 0.28 1.77
Kuwait 151074 205 0.14 5030 937 1 0.11 0.62
Moldova 145694 436 0.30 19971 3020 16 0.53 2.07
Lithuania 145399 1496 1.04 55147 1614 25 1.57 1.11
Qatar 144240 198 0.14 3413 245 0 0.00 0.17
Tunisia 141979 1422 1.01 31586 4765 35 0.74 3.36
Egypt 140878 1407 1.01 19789 7741 54 0.70 5.49
West Bank and Gaza 140287 1064 0.76 32188 1446 28 1.97 1.03
Greece 139709 262 0.19 15867 4921 40 0.82 3.52
Guatemala 138316 80 0.06 9217 4827 7 0.15 3.49
Oman 128867 0 0.00 3198 1499 0 0.00 1.16
Burma 125616 574 0.46 18401 2711 14 0.52 2.16
Ethiopia 125049 397 0.32 8752 1944 7 0.36 1.55
Slovenia 124343 393 0.32 28862 2774 46 1.69 2.23
Honduras 123144 170 0.14 9101 3173 13 0.41 2.58
Malaysia 117373 2295 1.99 35127 483 9 1.90 0.41
Venezuela 114083 199 0.17 6906 1032 2 0.19 0.90
Bosnia and Herzegovina 112143 0 0.00 11837 4086 0 0.00 3.64
Paraguay 108718 369 0.34 15805 2279 17 0.75 2.10
Libya 100744 0 0.00 10864 1487 0 0.00 1.48
Algeria 100159 262 0.26 8521 2769 7 0.25 2.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2388557 52356 2.24 839381 26542 256 0.97 1.11 60451.09 671.74 1 in 17
Texas 1793453 13858 0.78 320600 28338 85 0.30 1.58 61851.99 977.31 1 in 16
Florida 1354833 31518 2.38 237860 21890 217 1.00 1.62 63080.81 1019.19 1 in 16
New York 1011665 15849 1.59 237437 38273 118 0.31 3.78 52004.10 1967.40 1 in 19
Illinois 975352 11963 1.24 133664 18214 236 1.31 1.87 76970.15 1437.36 1 in 13
Ohio 714673 14293 2.04 161212 9017 55 0.61 1.26 61140.12 771.40 1 in 16
Georgia 685122 7533 1.11 147082 10960 2 0.02 1.60 64528.09 1032.27 1 in 15
Pennsylvania 660580 8489 1.30 175250 16179 24 0.15 2.45 51599.79 1263.79 1 in 19
Tennessee 604132 17330 2.95 161179 6970 63 0.91 1.15 88411.62 1020.02 1 in 11
North Carolina 558437 18892 3.50 128661 6892 144 2.13 1.23 53244.90 657.13 1 in 19
Arizona 539150 8883 1.68 136561 9061 46 0.51 1.68 70802.05 1189.91 1 in 14
Michigan 538121 9500 1.80 72962 13306 288 2.21 2.47 53882.92 1332.35 1 in 19
Wisconsin 523652 1129 0.22 57661 5256 2 0.04 1.00 89936.96 902.72 1 in 11
Indiana 523090 5317 1.03 103554 8410 39 0.47 1.61 77699.49 1249.22 1 in 13
New Jersey 488372 5511 1.14 91876 19187 27 0.14 3.93 54983.29 2160.17 1 in 18
Minnesota 417832 2530 0.61 42434 5436 54 1.00 1.30 74088.52 963.89 1 in 13
Missouri 410305 2828 0.69 59917 5717 4 0.07 1.39 66852.92 931.50 1 in 15
Massachusetts 384181 9003 2.40 98456 12502 79 0.64 3.25 55281.79 1798.98 1 in 18
Alabama 369458 3711 1.01 76617 4872 0 0.00 1.32 75350.61 993.64 1 in 13
Virginia 358755 3989 1.12 80140 5117 36 0.71 1.43 42030.84 599.49 1 in 24
Colorado 339172 2011 0.60 53538 4912 39 0.80 1.45 58896.95 852.96 1 in 17
Louisiana 315275 0 0.00 51084 7488 0 0.00 2.38 67818.66 1610.74 1 in 15
South Carolina 312718 5211 1.69 63920 5385 89 1.68 1.72 60737.11 1045.89 1 in 16
Oklahoma 296055 5119 1.76 62719 2527 38 1.53 0.85 74818.59 638.62 1 in 13
Iowa 283895 915 0.32 28886 3946 48 1.23 1.39 89980.57 1250.69 1 in 11
Maryland 283171 2952 1.05 51162 5967 25 0.42 2.11 46838.57 986.99 1 in 21
Utah 281654 5042 1.82 49833 1294 25 1.97 0.46 87853.30 403.62 1 in 11
Kentucky 273970 8709 3.28 53311 2698 75 2.86 0.98 61322.75 603.89 1 in 16
Washington 246752 0 0.00 38035 3461 0 0.00 1.40 32403.87 454.50 1 in 31
Arkansas 231442 2000 0.87 47190 3729 18 0.49 1.61 76691.66 1235.66 1 in 13
Kansas 230314 11 0.00 41854 2872 0 0.00 1.25 79055.67 985.82 1 in 13
Nevada 228871 1825 0.80 44922 3148 5 0.16 1.38 74305.00 1022.03 1 in 13
Mississippi 220277 1891 0.87 42330 4840 24 0.50 2.20 74014.10 1626.26 1 in 14
Connecticut 190120 4412 2.38 43359 6099 104 1.73 3.21 53325.30 1710.66 1 in 19
Nebraska 168262 546 0.33 20574 1669 1 0.06 0.99 86983.72 862.80 1 in 11
New Mexico 145379 1237 0.86 27021 2534 32 1.28 1.74 69332.79 1208.49 1 in 14
Idaho 142199 1122 0.80 21567 1448 12 0.84 1.02 79349.24 808.01 1 in 13
Oregon 116348 2439 2.14 23509 1492 15 1.02 1.28 27585.41 353.74 1 in 36
South Dakota 99829 665 0.67 9422 1501 13 0.87 1.50 112844.61 1696.70 1 in 9
North Dakota 92891 121 0.13 5301 1310 1 0.08 1.41 121894.28 1719.02 1 in 8
West Virginia 89327 1507 1.72 27176 1373 12 0.88 1.54 49983.02 768.26 1 in 20
Rhode Island 87949 0 0.00 17131 1777 0 0.00 2.02 83020.80 1677.43 1 in 12
Montana 81944 389 0.48 9300 971 10 1.04 1.18 76670.74 908.51 1 in 13
Puerto Rico 77932 878 1.14 16209 1526 5 0.33 1.96 24401.84 477.82 1 in 41
Delaware 58873 809 1.39 13997 930 0 0.00 1.58 60459.21 955.06 1 in 17
Alaska 47801 815 1.73 7304 215 9 4.37 0.45 65342.53 293.90 1 in 15
New Hampshire 45206 1178 2.68 14962 769 10 1.32 1.70 33246.77 565.56 1 in 30
Wyoming 44573 164 0.37 5666 438 0 0.00 0.98 77014.79 756.79 1 in 13
District of Columbia 29509 257 0.88 4866 792 4 0.51 2.68 41812.32 1122.21 1 in 24
Maine 25245 343 1.38 9625 358 6 1.70 1.42 18780.52 266.33 1 in 53
Hawaii 22181 159 0.72 2670 289 0 0.00 1.30 15665.96 204.11 1 in 64
Vermont 7689 277 3.74 2063 139 3 2.21 1.81 12322.33 222.76 1 in 81

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 33391442 2388557 7.15 6505312 839381 12.90 845091.4
2 Texas 14005637 1793453 12.81 1916532 320600 16.73 483021.6
3 Florida 15950750 1354833 8.49 2208752 237860 10.77 742664.4
4 New York 25706759 1011665 3.94 3949714 237437 6.01 1321442.3
5 Illinois 13436652 975352 7.26 1723468 133664 7.76 1060356.8
6 Ohio 7819008 714673 9.14 978859 161212 16.47 668914.5
7 Georgia 5436988 685122 12.60 740281 147082 19.87 512081.7
8 Pennsylvania 3946800 660580 16.74 440429 175250 39.79 308295.8
9 Tennessee 5718900 604132 10.56 808903 161179 19.93 836931.7
10 North Carolina 7079384 558437 7.89 1142759 128661 11.26 674993.1
11 Arizona 2905383 539150 18.56 418520 136561 32.63 381539.6
12 Michigan 8122575 538121 6.63 780585 72962 9.35 813326.4
13 Wisconsin 5402674 523652 9.69 581673 57661 9.91 927906.4
14 Indiana 5769273 523090 9.07 889596 103554 11.64 856964.6
15 New Jersey 7798225 488372 6.26 1204973 91876 7.62 877962.0
16 Minnesota 5387936 417832 7.75 696177 42434 6.10 955370.1
17 Missouri 3679665 410305 11.15 365377 59917 16.40 599545.1
18 Massachusetts 11046093 384181 3.48 1568774 98456 6.28 1589479.6
19 Alabama 1891468 369458 19.53 195029 76617 39.28 385763.1
20 Virginia 4337939 358755 8.27 667158 80140 12.01 508222.0
21 Colorado 4474747 339172 7.58 736644 53538 7.27 777036.3
22 Louisiana 4214182 315275 7.48 474910 51084 10.76 906510.8
23 South Carolina 3204255 312718 9.76 548927 63920 11.64 622340.8
24 Oklahoma 2690373 296055 11.00 346558 62719 18.10 679907.2
25 Iowa 1175920 283895 24.14 56565 28886 51.07 372708.0
26 Maryland 5807666 283171 4.88 837682 51162 6.11 960630.7
27 Utah 2268187 281654 12.42 258432 49833 19.28 707491.2
28 Kentucky 3210804 273970 8.53 336647 53311 15.84 718674.8
29 Washington 3836820 246752 6.43 550884 38035 6.90 503857.4
30 Arkansas 2079788 231442 11.13 236757 47190 19.93 689167.9
31 Kansas 1012506 230314 22.75 121789 41854 34.37 347544.4
32 Nevada 2111559 228871 10.84 297804 44922 15.08 685536.4
33 Mississippi 1347935 220277 16.34 143688 42330 29.46 452912.5
34 Connecticut 4383361 190120 4.34 688270 43359 6.30 1229455.3
35 Nebraska 1766104 168262 9.53 226703 20574 9.08 912994.6
36 New Mexico 1995329 145379 7.29 276220 27021 9.78 951593.6
37 Idaho 545485 142199 26.07 43415 21567 49.68 304389.1
38 Oregon 2652670 116348 4.39 409899 23509 5.74 628932.1
39 South Dakota 373946 99829 26.70 23731 9422 39.70 422700.7
40 North Dakota 1290077 92891 7.20 127028 5301 4.17 1692876.7
41 West Virginia 1552160 89327 5.76 242764 27176 11.19 868512.8
42 Rhode Island 1974498 87949 4.45 256931 17131 6.67 1863857.6
43 Montana 792779 81944 10.34 74277 9300 12.52 741762.1
45 Delaware 991318 58873 5.94 162286 13997 8.62 1018027.0
46 Alaska 1290349 47801 3.70 156931 7304 4.65 1763868.2
47 New Hampshire 1032929 45206 4.38 127150 14962 11.77 759668.1
48 Wyoming 501784 44573 8.88 61495 5666 9.21 866999.9
49 District of Columbia 911378 29509 3.24 140464 4866 3.46 1291362.8
50 Maine 1112457 25245 2.27 140047 9625 6.87 827590.4
51 Hawaii 822805 22181 2.70 91587 2670 2.92 581129.5
52 Vermont 708246 7689 1.09 95934 2063 2.15 1135029.6

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4896792 483361 1402 0.29 9.87 3293 491 56010 25281 5.23
Veneto 3334350 261845 3165 1.22 7.85 2668 372 94121 6675 2.55
Piemonte 1690587 199319 433 0.22 11.79 2777 182 24197 7971 4.00
Campania 2059031 191799 392 0.20 9.32 1355 99 78015 2893 1.51
Emilia-Romagna 2588793 176170 2035 1.17 6.81 2649 229 58506 7846 4.45
Lazio 2730769 166239 1275 0.77 6.09 2792 315 76448 3816 2.30
Toscana 1898439 121415 498 0.41 6.40 825 139 10021 3720 3.06
Sicilia 1231722 95500 734 0.77 7.75 1090 186 34950 2468 2.58
Puglia 1053380 92703 344 0.37 8.80 1503 139 53812 2491 2.69
Liguria 715806 61084 203 0.33 8.53 674 66 5702 2907 4.76
Friuli Venezia Giulia 942810 51101 359 0.71 5.42 652 63 11847 1687 3.30
Marche 539624 42602 285 0.67 7.89 479 65 11787 1594 3.74
Abruzzo 520091 35746 23 0.06 6.87 443 37 11251 1229 3.44
Sardegna 487320 31667 189 0.60 6.50 479 41 16672 755 2.38
P.A. Bolzano 364372 29850 86 0.29 8.19 176 24 10838 746 2.50
Umbria 506539 29238 50 0.17 5.77 270 47 3793 628 2.15
Calabria 443632 24440 175 0.72 5.51 234 19 8816 482 1.97
P.A. Trento 453960 22149 116 0.53 4.88 369 41 1982 958 4.33
Basilicata 185449 11021 39 0.36 5.94 93 3 6142 261 2.37
Valle d’Aosta 63032 7297 7 0.10 11.58 76 2 413 383 5.25
Molise 116807 6655 21 0.32 5.70 51 9 1739 194 2.92

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 202641 0 0.00 8226 0 0.00 4.06 23734.92 963.49 1 in 42
Ontario 191035 3691 1.97 4617 49 1.07 2.42 12985.13 313.83 1 in 77
Alberta 100428 0 0.00 1046 0 0.00 1.04 22756.56 237.02 1 in 44
British Columbia 51990 0 0.00 901 0 0.00 1.73 10172.34 176.29 1 in 98
Manitoba 25026 326 1.32 678 11 1.65 2.71 18167.47 492.19 1 in 55
Saskatchewan 15845 495 3.22 158 3 1.94 1.00 13409.03 133.71 1 in 75
Nova Scotia 1499 13 0.87 65 0 0.00 4.34 1533.57 66.50 1 in 652
New Brunswick 611 10 1.66 9 0 0.00 1.47 783.34 11.54 1 in 1277
Newfoundland and Labrador 390 0 0.00 4 0 0.00 1.03 748.04 7.67 1 in 1337
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 62427.21 1070.25 1 in 16
India 7710.21 111.60 1 in 130
Brazil 36867.68 935.14 1 in 27
Russia 22006.21 396.09 1 in 45
France 40311.69 971.01 1 in 25
United Kingdom 39246.57 1124.05 1 in 25
Turkey 27620.78 263.52 1 in 36
Italy 35403.46 1239.83 1 in 28
Spain 41325.87 1089.52 1 in 24
Germany 21422.15 416.48 1 in 47
Colombia 33959.81 891.89 1 in 29
Argentina 36928.71 979.78 1 in 27
Mexico 11172.94 981.82 1 in 90
Poland 34565.03 765.09 1 in 29
Iran 15247.34 683.07 1 in 66
Ukraine NA NA 1 in NA
South Africa 19197.62 514.37 1 in 52
Peru 31555.39 1171.28 1 in 32
Netherlands 48035.45 678.70 1 in 21
Indonesia 2873.00 85.44 1 in 348

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 806210 10682 1.32
Cook Illinois 397942 8359 2.10
Maricopa Arizona 331233 5239 1.58
Miami-Dade Florida 304187 4239 1.39
Harris Texas 243059 3424 1.41
San Bernardino California 203651 1445 0.71
Dallas Texas 196160 2042 1.04
Riverside California 188674 1985 1.05
Clark Nevada 173634 2388 1.38
Orange California 165440 1901 1.15
San Diego California 164500 1592 0.97
Tarrant Texas 150004 1452 0.97
Broward Florida 140110 1862 1.33
Queens New York 128917 7586 5.88
Kings New York 127067 7756 6.10
Bexar Texas 119355 1743 1.46
Salt Lake Utah 108971 559 0.51
Suffolk New York 99717 2328 2.33
El Paso Texas 99327 1702 1.71
Philadelphia Pennsylvania 93885 2450 2.61
Milwaukee Wisconsin 92473 1003 1.08
Nassau New York 90869 2409 2.65
Bronx New York 87727 5137 5.86
Hennepin Minnesota 86762 1390 1.60
Wayne Michigan 85996 3667 4.26
Franklin Ohio 85553 698 0.82
Palm Beach Florida 84972 1908 2.25
Hillsborough Florida 79472 1084 1.36
Orange Florida 78512 750 0.96
Middlesex Massachusetts 77222 2740 3.55
Santa Clara California 73493 747 1.02
Marion Indiana 72268 1163 1.61
Pima Arizona 71894 1084 1.51
Cuyahoga Ohio 71742 899 1.25
Westchester New York 71627 1677 2.34
St. Louis Missouri 70402 1392 1.98
Kern California 69484 512 0.74
Utah Utah 68486 217 0.32
Shelby Tennessee 68426 911 1.33
Fresno California 67484 711 1.05
Sacramento California 66956 857 1.28
Mecklenburg North Carolina 64442 568 0.88
Duval Florida 62888 739 1.18
Davidson Tennessee 62841 572 0.91
DuPage Illinois 62676 1051 1.68
King Washington 62580 1050 1.68
New York New York 62494 3356 5.37
Oakland Michigan 62094 1659 2.67
Essex Massachusetts 59403 1713 2.88
Gwinnett Georgia 59163 604 1.02
Providence Rhode Island 58946 1348 2.29
Oklahoma Oklahoma 58607 444 0.76
Fulton Georgia 58438 790 1.35
Fairfield Connecticut 57467 1740 3.03
Prince George’s Maryland 55694 1096 1.97
Suffolk Massachusetts 55575 1377 2.48
Allegheny Pennsylvania 55410 1041 1.88
Douglas Nebraska 53801 515 0.96
Jefferson Alabama 53621 719 1.34
Alameda California 53518 659 1.23
Will Illinois 52899 788 1.49
Hamilton Ohio 52847 419 0.79
Jefferson Kentucky 52240 539 1.03
Hidalgo Texas 51662 2201 4.26
Travis Texas 51558 550 1.07
Macomb Michigan 50124 1632 3.26
Collin Texas 50012 377 0.75
Tulsa Oklahoma 48826 411 0.84
Lake Illinois 48809 826 1.69
New Haven Connecticut 48507 1559 3.21
Denver Colorado 48246 672 1.39
Essex New Jersey 48070 2400 4.99
Bergen New Jersey 48002 2333 4.86
Hartford Connecticut 47726 1878 3.93
Montgomery Maryland 47147 1132 2.40
San Joaquin California 46640 651 1.40
Pinellas Florida 46310 1052 2.27
Middlesex New Jersey 45805 1685 3.68
Cobb Georgia 45705 577 1.26
Fairfax Virginia 45157 685 1.52
Wake North Carolina 44954 348 0.77
Hudson New Jersey 44886 1711 3.81
Kent Michigan 44054 555 1.26
Worcester Massachusetts 43877 1540 3.51
Erie New York 42465 1219 2.87
Lubbock Texas 42134 573 1.36
Ventura California 42026 263 0.63
Kane Illinois 41958 618 1.47
El Paso Colorado 41838 570 1.36
Polk Iowa 41749 413 0.99
Contra Costa California 41599 347 0.83
Bernalillo New Mexico 41385 578 1.40
Lee Florida 41313 675 1.63
Lake Indiana 40621 610 1.50
Sedgwick Kansas 40608 406 1.00
Adams Colorado 40499 523 1.29
Passaic New Jersey 40406 1462 3.62
Denton Texas 39792 353 0.89
Johnson Kansas 39696 455 1.15
Baltimore Maryland 39351 946 2.40

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc